Introduction to AI and Machine Learning on Google Cloud

Overview

Delivery method

Virtual classroom

Duration

1 day

Audience

Information Technology Specialists

Description

This course introduces the artificial intelligence (AI) and machine learning (ML) offerings on Google Cloud that support the data-to-AI lifecycle through AI foundations, AI development, and AI solutions.

You learn how to build AutoML models without writing a single line of code; build BigQuery ML models using SQL, and build Vertex AI custom training jobs by using Keras and TensorFlow. You also explore data preprocessing techniques and feature engineering.

Learning Objectives

• Recognize the data-to-AI technologies and tools offered by Google Cloud.

• Use generative AI capabilities in applications.

• Chose between different options to develop an AI project on Google Cloud.

• Build ML models end-to-end by using Vertex AI.

Target Audience

Professional AI developers, data scientists, and ML engineers who want to build Machine Learning models, develop AI or ML applications or solutions and build end-to-end ML pipelines on Google Cloud.

Prerequisite(s)

Having one or more of the following:

• Basic knowledge of machine learning concepts;

• Prior experience with programming languages such as SQL and Python.